Goal: This undergraduate level course provides an introduction to the basic concepts of probability, common distributions, statistical methods, and data analysis.
This course will use the statistical software program Minitab.

Topics:

Descriptive Statistics

Probability Distribution

Parameter Estimation

Hypothesis Testing

Analysis of Variance

Design of Experiments

Reference:

Montgomery, Runger and Hubele, Engineering Statistics.5th edition

Production Planning and Control (45h)Prof. Fabio Favaretto

Goal: To know the basic principles of production planning using hierarchic methods and effective usage of production resources.

Cudney, E (2016). Design for Six Sigma: A Practical Approach through Innovation

Forecasting (45h)
Prof. Rafael Leme

Goal: This course provides a working knowledge of forecasting methods. Techniques in univariate forecasting using exponential smoothing, regression methods for time series data, stationary and non-stationary time series models for seasonal and non-seasonal time series data and model selection procedures are covered. The emphasis is on methods and the analysis of time series data using the Minitab statistical software.

Topics:

Introduction to Forecast

Statistical Background for Forecasting

Regression Analysis and Forecasting

Exponential Smoothing Methods

ARIMA

Reference:

Introduction to Time Series Analysis and Forecasting (Montgomery / Jennings / Kulahci)

Business Logistics (45h)
Prof. Renato Lima

Goal: Development of Project-Based Learning in a logistic/SCM subject

Topics:

Logistics / SCM

Logistic Service Level

Distribution Channels

Distribution Logistics

Transport Fundamentals

Storage and Handling

Reverse Logic

Reference:

Christhopher, M. Logistics & Supply Chain Management (5th Edition)

Simulation (45h)
Prof. José Arnaldo Barra Montevechi

Goal: In this course, we will present and discuss the simulation to discrete events.